This paper describes a novel approach to adaptive manufacturing in the context of small batch production and customization. It focuses on integrating task-level planning and reasoning with reinforcement learning (RL) in the SkiROS2 skill-based robot...
Generating high-quality motion plans for multiple robot arms is challenging due to the high dimensionality of the system and the potential for inter-arm collisions. Traditional motion planning methods often produce motions that are suboptimal in term...
The wait for Cook Out to arrive in Louisville may soon be over. Cook Out filed a permit Wednesday, March 4, for the former Rally’s site at 2412 Preston Highway, according to the Louisville Metro Busi...
The government in Berlin intends to bring Germans stranded in the Middle East back home, not only with three special flights from Oman but also from the Saudi capital, Foreign Minister Johann Wadephul...
Robots incurring component failures ought to adapt their behavior to best realize still-attainable goals under reduced capacity. We formulate the problem of planning with actuators known a priori to be susceptible to failure within the Markov Decisio...
Performing complex manipulation tasks in dynamic environments requires efficient Task and Motion Planning (TAMP) approaches that combine high-level symbolic plans with low-level motion control. Advances in Large Language Models (LLMs), such as GPT-4,...
So, I’m planning a massive solo 4 month road trip spanning the country around 2 years out. The field I work in, I’m around 2 years out from getting a professional license that takes around that am...
Using underwater robots instead of humans for the inspection of coastal piers can enhance efficiency while reducing risks. A key challenge in performing these tasks lies in achieving efficient and rapid path planning within complex environments. Samp...
The hierarchical structure of production planning has the advantage of assigning different decision variables to their respective time horizons and therefore ensures their manageability. However, the restrictive structure of this top-down approach im...
Decisions related to electric power systems planning and operations rely on assumptions and insights informed by historic weather data and records of past performance. Evolving climate trends are, however, changing the energy use patterns and operati...
Uncertain dynamic obstacles, such as pedestrians or vehicles, pose a major challenge for optimal robot navigation with safety guarantees. Previous work on motion planning has followed two main strategies to provide a safe bound on an obstacle's space...
Autonomous navigation in off-road environments remains a significant challenge in field robotics, particularly for Unmanned Ground Vehicles (UGVs) tasked with search and rescue, exploration, and surveillance. Effective long-range planning relies on t...
This paper presents a method for constrained motion planning from vision, which enables a robot to move its end-effector over an observed surface, given start and destination points. The robot has no prior knowledge of the surface shape, but observes...
Background: Individual skull models of bone density and geometry are important when planning the expected transcranial ultrasound acoustic field and estimating mechanical and thermal safety in low-intensity transcranial ultrasound stimulation (TUS) s...
Traffic evacuation planning can be essential in saving lives in case of natural disasters such as hurricanes, floods and wildfires. We build on a case study of traffic evacuation planning for the city of Mill Valley, CA. We run a microscopic traffic...
3 days ago · Foreign Office starts planning evacuation of thousands of Britons in Middle East About 200,000 nationals thought to be in the region as tensions rise after US-Israeli attacks on Iranian regime
Hi everyone, I’m planning a trip with my partner for next year and we’re planning to spend 2-3 days in London so we’re kinda tight on time. What would you say is the best market? I see lots onli...
Multi-Agent Task Assignment and Planning (MATP) has attracted growing attention but remains challenging in terms of scalability, spatial reasoning, and adaptability in obstacle-rich environments. To address these challenges, we propose OATH: Adaptive...
We present astroplan - an open source, open development, Astropy affiliated package for ground-based observation planning and scheduling in Python. astroplan is designed to provide efficient access to common observational quantities such as celestial...
There are found a vast number of papers studying the problem of operating theater planning and scheduling. Different variants of this problem are generally recognized to be NP-complete; thus, several solution approaches have been utilized in the lite...